AIMC Topic: Humans

Clear Filters Showing 42021 to 42030 of 95995 articles

A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study.

Journal of stomatology, oral and maxillofacial surgery
INTRODUCTION: Deep learning methods have recently been applied for the processing of medical images, and they have shown promise in a variety of applications. This study aimed to develop a deep learning approach for identifying oral lichen planus les...

Why pay more for robot in esophageal cancer surgery?

Updates in surgery
Esophagectomy is the gold standard for the treatment of resectable esophageal cancer. Traditionally, it is performed through a laparotomy and a thoracotomy, and is associated with high rates of postoperative complications and mortality. The advent of...

Machine learning applications in upper gastrointestinal cancer surgery: a systematic review.

Surgical endoscopy
BACKGROUND: Machine learning (ML) has seen an increase in application, and is an important element of a digital evolution. The role of ML within upper gastrointestinal surgery for malignancies has not been evaluated properly in the literature. Theref...

DEEP LEARNING ALGORITHMS SHOW SOME POTENTIAL AS AN ADJUNCTIVE TOOL IN CARIES DIAGNOSIS.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Mohammad-Rahimi H, Reza Motamedian S, Hossein Rohban M, Krois J, Uribe SE, Mahmoudinia E, Rokhshad R, Nadimi M, Schwendicke F, Deep learning for caries detection: A systematic review, J Dent, 2022,122, 104...

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning.

Biological cybernetics
From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal jo...

Thoracic Imaging in China: Yesterday, Today, and Tomorrow.

Journal of thoracic imaging
Thoracic imaging has been revolutionized through advances in technology and research around the world, and so has China. Thoracic imaging in China has progressed from anatomic observation to quantitative and functional evaluation, from using traditio...

Artificial intelligence uncovers carcinogenic human metabolites.

Nature chemical biology
The genome of a eukaryotic cell is often vulnerable to both intrinsic and extrinsic threats owing to its constant exposure to a myriad of heterogeneous compounds. Despite the availability of innate DNA damage responses, some genomic lesions trigger m...

One-step Endovascular Aortic Aneurysm Repair With CO2 contrast and Robotic Partial Nephrectomy for Renal Cell Carcinoma: Case Report.

Vascular and endovascular surgery
INTRODUCTION: Although rare, as the population ages, abdominal aortic aneurysm synchronous to abdominal malignancies, as renal cell carcinoma, is expected to become more prevalent. There are only two case reports of minimally invasive surgeries to tr...

Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.

Computer methods and programs in biomedicine
PURPOSE: This paper proposes a CT images and MRI segmentation technology of cardiac aorta based on XR-MSF-U-Net model. The purpose of this method is to better analyze the patient's condition, reduce the misdiagnosis and mortality rate of cardiovascul...

Multi-label classification of fundus images with graph convolutional network and LightGBM.

Computers in biology and medicine
Early detection and treatment of retinal disorders are critical for avoiding irreversible visual impairment. Given that patients in the clinical setting may have various types of retinal illness, the development of multi-label fundus disease detectio...